Zobrazeno 1 - 10
of 41
pro vyhledávání: '"JiaYan Zhuang"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1401 (2023)
Background Model-based 3D pose estimation has been widely used in many 3D human motion analysis applications, in which vision-based and inertial-based are two distinct lines. Multi-view images in a vision-based markerless capture system provide essen
Externí odkaz:
https://doaj.org/article/13542a5feed1499580bf984301d54468
Autor:
Hongyi Zheng, Wenbin Zheng, Hongkun Liu, Gengbiao Zhang, Weijia Li, Jiayan Zhuang, Yuelin Guo
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
AimsThis study adopted the Glutamate Chemical Exchange Saturation Transfer (GluCEST) imaging technique to quantitatively analyze cranial glutamate and discussed the effectiveness of GluCEST values in identifying the pathogenesis of encephalopathy aft
Externí odkaz:
https://doaj.org/article/5410539481d2498780980fddebbbb08e
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7583 (2023)
The identification of plant nematodes is crucial in the fields of pest control, soil ecology, and biogeography. The automated recognition of plant nematodes based on deep-learning technology can significantly improve the accuracy and efficiency of th
Externí odkaz:
https://doaj.org/article/59588372e7c645fc8433007882d74764
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4220 (2023)
The buckle before the lens coating is still typically disassembled manually. The difference between the buckle and the background is small, while that between the buckles is large. This mechanical disassembly can also damage the lens. Therefore, it i
Externí odkaz:
https://doaj.org/article/cb679ad3c58a46b2829041924e99bea2
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 39 (2023)
This paper proposed a method for reconstructing floorplans from indoor point clouds. Unlike existing corner and line primitive detection algorithms, this method uses a generative adversarial network to learn the complex distribution of indoor layout
Externí odkaz:
https://doaj.org/article/9949a6c1e63c40d58f16676d54af89ca
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2394 (2023)
Target recovery through scattering media is an important aspect of optical imaging. Although various algorithms combining deep-learning methods for target recovery through scattering media exist, they have limitations in terms of robustness and gener
Externí odkaz:
https://doaj.org/article/8f4e6dee0ae842c1bdce27c5148594d5
Publikováno v:
Entropy, Vol 25, Iss 1, p 144 (2023)
With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in de
Externí odkaz:
https://doaj.org/article/d32cdba488b04655b0886a7cb2d3cfc0
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Aims: Carbon monoxide poisoning is a common condition that can cause severe neurological sequelae. Previous studies have revealed that functional connectivity in carbon monoxide poisoning is abnormal under the assumption that it is resting during sca
Externí odkaz:
https://doaj.org/article/02a2efac49424de8a8c2b9616ed91c07
Publikováno v:
Photonics, Vol 9, Iss 12, p 956 (2022)
Due to the effect of the complex scattering medium, the photons carrying target information will be attenuated when passing through scattering media, and target localization is difficult. The resolution of the target-position information from scatter
Externí odkaz:
https://doaj.org/article/c923cc7d3699493eb0b5fb5df8279343
Publikováno v:
Applied Sciences; Volume 13; Issue 13; Pages: 7583
The identification of plant nematodes is crucial in the fields of pest control, soil ecology, and biogeography. The automated recognition of plant nematodes based on deep-learning technology can significantly improve the accuracy and efficiency of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b83361ded5e4c6c88e5285c2e10071fa